data
Posted 4 hours agoStaff Data Scientist - Digital Intelligence
at Socure
United StatesHybrid
Responsibilities
- - Own ambiguous fraud and identity risk problems where data quality, label reliability, adversarial behavior, customer impact, and product tradeoffs must be evaluated together.
- - Develop production risk signals and models that balance fraud detection, false-positive risk, coverage, latency, explainability, robustness, and operational maintainability.
- - Build and guide scalable feature-engineering approaches for high-cardinality, sparse, noisy, and platform-dependent telemetry.
- - Define evaluation methods for Digital Intelligence signals, including holdout design, leakage checks, drift monitoring, adversarial robustness, customer impact analysis, and long-term signal stability.
- - Lead high-impact machine learning and feature-development initiatives across device, network, browser, mobile, session, and behavioral intelligence.
Requirements
- JOB SUMMARY: Socure is the leading provider of digital identity verification and fraud prevention solutions, using AI and machine learning to power accurate identity trust decisions.
- Requirements: - Master’s or Ph.D. in Computer Science, Machine Learning, Statistics, Mathematics, Data Science, or a related quantitative field. - 12+ years of
- experience in data science, applied machine learning, statistical modeling, or related technical roles. - Significant
- experience building, deploying, validating, and improving production machine learning models, risk signals, or decisioning systems. - Strong background in fraud detection, identity verification, trust and safety, anomaly detection, cybersecurity, risk modeling, or another adversarial data domain. - Expert-level SQL skills and extensive
- experience working with large-scale, complex, noisy datasets.
- - Strong proficiency in Python and distributed data processing frameworks such as Spark, PySpark, or equivalent tools.
- - Deep understanding of supervised learning, unsupervised learning, anomaly detection, feature engineering, model evaluation, production monitoring, and statistical validation.
- - Demonstrated ability to work with imperfect labels, delayed outcomes, telemetry artifacts, instrumentation gaps, and changing fraud patterns.
- Experience influencing data architecture, instrumentation, feature logging, and product direction through technical credibility rather than direct authority. - Excellent communication skills, including the ability to explain complex data science decisions and risk tradeoffs to technical and non-technical audiences. - Strong mentorship skills and a track record of improving the technical quality and judgment of other data scientists. Preferred Qualifications: -
- Experience with device intelligence, browser/mobile fingerprinting, behavioral biometrics, network intelligence, VPN/proxy detection, entity resolution, or graph-based risk signals. -
- Experience designing features from high-cardinality categorical data using techniques such as aggregation, frequency encoding, target encoding, embeddings, graph features, or representation learning. -
- experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. -
- Experience setting standards for model explainability, feature governance, validation methodology, or production ML observability.
- This role offers the opportunity to influence telemetry, product direction, and data science standards while mentoring others and deepening Socure’s ability to recognize trusted digital interactions and detect adversarial behavior.
Contact
- Follow Us! YouTube https://www.youtube.com/c/Socure | LinkedIn https://www.linkedin.com/company/socure/ | X (Twitter) https://x.com/socureme | Facebook https://www.facebook.com/socure/
Additional details
- WHY SOCURE? Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts.
- The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
- We hire people who want that level of responsibility.
- People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision.
- If you want predictability or narrow scope, this won’t be your place.
- If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
- Our mission is to eliminate identity fraud and ensure online trust across industries.
- In this role, you will provide technical leadership for turning noisy, high-scale device, network, browser, mobile, API, and behavioral telemetry into production-grade fraud and identity risk signals.
- You will lead ambiguous signal-development efforts, define rigorous evaluation methods, influence what telemetry we collect, and help set the technical direction for how Digital Intelligence detects risky behavior, recognizes trustworthy devices and sessions, and adapts to adversarial change. Job
- - Investigate complex signal patterns such as spoofing, emulator behavior, automation, proxy/VPN usage, low-entropy fingerprints, telemetry gaps, device fragmentation, and over-linkage risk.